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Data Science & AI · Verified Opening #86

Machine Learning Engineer

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Compensation

$125K – 155K/yr

bolt Apply for this role

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Published Date

16 hours ago

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Work Arrangement

Hybrid • Remote

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Open Positions

3 openings

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Experience Level

Entry-to-Mid Level

overview Role Overview

About the opportunity

Join Microsoft's data and AI team as a Data Scientist / Machine Learning Engineer, building intelligent solutions through machine learning, predictive analytics, and advanced AI technologies.

Microsoft is seeking a motivated Data Scientist / Machine Learning Engineer to transform complex datasets into actionable business insights and intelligent applications. The ideal candidate will work with cross-functional teams to develop machine learning models, implement AI-powered solutions, analyze large-scale datasets, and improve data-driven decision-making. This role offers opportunities to work with Python, SQL, cloud-based AI services, statistical modeling, and modern machine learning frameworks. Candidates with hands-on project experience, strong analytical thinking, and practical knowledge gained through a Data Science and AI training program are encouraged to apply.

task Core Responsibilities

What you will do

check_circle Collect, clean, process, and analyze structured and unstructured datasets using Python and SQL.
check_circle Develop, train, evaluate, and optimize machine learning models for classification, regression, and predictive analytics.
check_circle Build data visualizations, dashboards, and reports using Power BI, Tableau, or similar tools.
check_circle Apply statistical analysis and exploratory data analysis to identify trends and business insights.
check_circle Collaborate with data engineers and software developers to develop AI-driven solutions.
check_circle Explore generative AI, natural language processing, and modern machine learning frameworks.

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What we are looking for

arrow_circle_right Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field, or equivalent practical experience.
arrow_circle_right Strong working knowledge of Python, SQL, and data analysis techniques.
arrow_circle_right Understanding of machine learning algorithms, statistical modeling, and predictive analytics.
arrow_circle_right Hands-on experience with Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch.
arrow_circle_right Knowledge of data visualization tools such as Power BI, Tableau, or Matplotlib.
arrow_circle_right Practical project experience in data science, machine learning, or artificial intelligence is preferred.

code_blocks Technologies & Competencies

Skills & Tech Stack

Data Science Python Machine Learning SQL Artificial Intelligence Deep Learning Power BI Predictive Analytics

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Why candidate applications stand out

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Verified Technical Credentials

Applications include direct proof-of-work repositories and instructor verification endorsements.

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Direct internal referral channels through enterprise partners bypass automated resume discard filters.

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